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Analysis of the copy number profiles of several tumor samples from the same patient reveals the successive steps in tumorigenesis

Eric Letouzé123*, Yves Allory45, Marc A Bollet6, François Radvanyi23 and Frédéric Guyon1

Author Affiliations

1 INSERM, UMR-S 973, MTi, Université Paris Diderot - Paris 7, 35 rue Hélène Brion, 75205 Paris Cedex 13, France

2 Institut Curie, Centre de Recherche, Paris, F-75248 France

3 CNRS, UMR 144, 26 rue d'Ulm, 75248 Paris Cedex 05, France

4 INSERM, Unité 955, Créteil F-94000, France

5 AP-HP, Groupe Hospitalier Albert Chenevier - Henri Mondor, Département de Pathologie, Créteil F-94000, France

6 Département d'Oncologie Radiothérapie, Institut Curie, 26 rue d'Ulm, 75248 Paris Cedex 05, France

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Genome Biology 2010, 11:R76  doi:10.1186/gb-2010-11-7-r76

Published: 22 July 2010

Abstract

We present a computational method, TuMult, for reconstructing the sequence of copy number changes driving carcinogenesis, based on the analysis of several tumor samples from the same patient. We demonstrate the reliability of the method with simulated data, and describe applications to three different cancers, showing that TuMult is a valuable tool for the establishment of clonal relationships between tumor samples and the identification of chromosome aberrations occurring at crucial steps in cancer progression.